System and method for generating descriptive metadata

Abstract

A computer-implemented method and system for generating a synopsis for a content item comprising: obtaining user data for at least one user and/or associated metadata, wherein the user data and/or associated metadata is based on user activity for the at least one user; receiving content metadata and/or other content information for the content item; generating or otherwise obtaining a synopsis for the content item based on the obtained content information and based on at least some of said obtained user data.

What is claimed is: 
     
         1 . A computer-implemented method for generating a synopsis for a content item comprising: 
 obtaining user data for at least one user and/or associated metadata, wherein the user data and/or associated metadata is based on user activity for the at least one user;   receiving content metadata and/or other content information for the content item,   generating or otherwise obtaining a synopsis for the content item based on the obtained content information and based on at least some of said obtained user data.   
     
     
         2 . The method of  claim 1 , wherein the generated synopsis comprises a customized synopsis for said at least one user. 
     
     
         3 . The method of  claim 1 , wherein the content metadata comprises enriched content metadata. 
     
     
         4 . The method of  claim 1 , further comprises: 
 receiving a call request, for example, in accordance with application programming interface protocol for a synopsis based on the content metadata and user data;   transmitting the API call to a server or further networked processor;   generating the synopsis based on the API call.   
     
     
         5 . The method of  claim 1 , wherein the content information comprises an initial synopsis for the content item and wherein generating the synopsis comprises modifying and/or re-generating the initial synopsis based on the obtained user data and/or the received content metadata. 
     
     
         6 . The method of  claim 1 , wherein the method forms part of a content recommendation process, the content recommendation process comprising: 
 receiving a request for one or more content recommendations;   obtaining content information for a plurality of content items;   generating a content recommendation for a set of content items based on at least the content information, optionally based on the user data;   wherein the generating or otherwise obtaining of the synopsis is performed for each content item of the set of content items.   
     
     
         7 . The method of  claim 1 , wherein the synopsis is generated and stored at a first time, for example, during or in response to a content recommendation request and retrieved from storage at a second time, for example, in response to a user interaction with a content selection interface or other user interface. 
     
     
         8 . The method of  claim 1 , wherein generating the synopsis comprises applying a machine learning derived model to at least part of the content metadata, optionally an initial synopsis, and at least part of the user data wherein the machine learning model is configured to output the synopsis. 
     
     
         9 . The method of  claim 8 , further comprising selecting one or more parameters for the model, wherein the one or more parameters comprises at least one of: requested language, length of desired synopsis. 
     
     
         10 . The method of  claim 1 , further comprising obtaining user device information, for example, information relating to the size of a display or a display window, and generating the synopsis based on said user device information. 
     
     
         11 . The method of  claim 1 , wherein the user data and/or associated metadata is represented as a feature vector or other data structure and wherein the method comprises generating a prompt or other input for a model based on said feature vector or other data structure and said content metadata, optionally an initial synopsis. 
     
     
         12 . The method of  claim 1 , wherein generating the synopsis comprises packaging at least part of said user data and/or associated content metadata, said content metadata and one or more selected parameters for a synopsis generator. 
     
     
         13 . The method of  claim 1 , wherein the method comprises performing a filtering and/or selection process on the user data and/or associated metadata and wherein the generating of the synopsis is based on the filtered and/or selected user data and/or associated metadata. 
     
     
         14 . The method of  claim 1 , wherein the content metadata is obtained from a first data source without the use of user data and/or associated metadata and/or wherein the content metadata, optionally wherein the synopsis is generated based on an initial synopsis that is independent of user data user activity. 
     
     
         15 . The method of  claim 1 , wherein generating or otherwise obtaining the synopsis comprises evaluating a set of pre-generated synopses for a suitable or closest match based on said user data and/or associated metadata. 
     
     
         16 . The method of  claim 15 , wherein the generating or obtaining the synopsis comprises: 
 retrieving said suitable or closest match based on said evaluation and/or   generating a synopsis in the absence of a suitable or closest match.   
     
     
         17 . The method of  claim 1 , wherein the method comprises at least one of a), b): 
 a) identifying a group of users for at least one user from a plurality of groups based on said user data and wherein the generation of the synopsis comprises is based on said identification of group;   b) obtaining first party metadata from a first source and obtaining user data and/or associated content metadata from a second source.   
     
     
         18 . The method of  claim 1 , wherein the method further comprises displaying the generated synopsis as part of a content selection interface or other user interface. 
     
     
         19 . A system comprising processing circuitry configured to: 
 obtain user data for at least one user and/or associated metadata, wherein the user data and/or associated metadata is based on user activity for the at least one user;   receive content metadata for the content item,   generate or otherwise obtain a synopsis for the content item based on the obtained content metadata and based on at least some of said obtained user data.   
     
     
         20 . A non-transitory computer-readable medium that comprises computer-readable instructions that are executable to: 
 obtain user data for at least one user and/or associated metadata, wherein the user data and/or associated metadata is based on user activity for the at least one user;   receive content metadata for the content item,   generate or otherwise obtaining a synopsis for the content item based on the obtained content metadata and based on at least some of said obtained user data.